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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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09/06/2023
Helper Recommendation with seniority control in Online Health Community
Online health communities (OHCs) are forums where patients with similar ...
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08/30/2023
Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement
Underwater image processing and analysis have been a hotspot of study in...
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08/25/2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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07/16/2023
MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning
Numerical software is usually shipped with built-in hyperparameters. By ...
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06/28/2023
Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Food effect summarization from New Drug Application (NDA) is an essentia...
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06/06/2023
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
Few-shot named entity recognition (NER) exploits limited annotated insta...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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05/30/2023
Graph Neural Network for spatiotemporal data: methods and applications
In the era of big data, there has been a surge in the availability of da...
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05/19/2023
Domain Generalization Deep Graph Transformation
Graph transformation that predicts graph transition from one mode to ano...
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05/01/2023
Deep Graph Representation Learning and Optimization for Influence Maximization
Influence maximization (IM) is formulated as selecting a set of initial ...
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04/27/2023
Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes
A novel framework for designing the molecular structure of chemical comp...
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03/25/2023
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Advancements in wearable medical devices in IoT technology are shaping t...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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12/31/2022
Fast Approximation of Polynomial Zeros and Matrix Eigenvalues
We approximate the d complex zeros of a univariate polynomial p(x) of a ...
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12/26/2022
Saliency-Augmented Memory Completion for Continual Learning
Continual Learning is considered a key step toward next-generation Artif...
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12/07/2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
As the societal impact of Deep Neural Networks (DNNs) grows, the goals f...
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11/19/2022
DeepGAR: Deep Graph Learning for Analogical Reasoning
Analogical reasoning is the process of discovering and mapping correspon...
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11/09/2022
3DFill:Reference-guided Image Inpainting by Self-supervised 3D Image Alignment
Most existing image inpainting algorithms are based on a single view, st...
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11/01/2022
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags
So far, discontinuous named entity recognition (NER) has received increa...
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10/03/2022
Deep Spatial Domain Generalization
Spatial autocorrelation and spatial heterogeneity widely exist in spatia...
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10/01/2022
Multi-objective Deep Data Generation with Correlated Property Control
Developing deep generative models has been an emerging field due to the ...
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08/08/2022
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
Total knee arthroplasty (TKA) is a common orthopaedic surgery to replace...
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07/25/2022
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search
In a number of machine learning models, an input query is searched acros...
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07/22/2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Classification on long-tailed distributed data is a challenging problem,...
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07/19/2022
Controllable Data Generation by Deep Learning: A Review
Designing and generating new data under targeted properties has been att...
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07/07/2022
Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework
In teleradiology, medical images are transmitted to offsite radiologists...
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07/03/2022
Saliency-Regularized Deep Multi-Task Learning
Multitask learning is a framework that enforces multiple learning tasks ...
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06/27/2022
RES: A Robust Framework for Guiding Visual Explanation
Despite the fast progress of explanation techniques in modern Deep Neura...
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06/24/2022
Deep Generation of Heterogeneous Networks
Heterogeneous graphs are ubiquitous data structures that can inherently ...
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06/24/2022
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Graph diffusion problems such as the propagation of rumors, computer vir...
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06/18/2022
An Invertible Graph Diffusion Neural Network for Source Localization
Localizing the source of graph diffusion phenomena, such as misinformati...
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05/31/2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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05/21/2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network
Temporal domain generalization is a promising yet extremely challenging ...
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03/31/2022
Logit Normalization for Long-tail Object Detection
Real-world data exhibiting skewed distributions pose a serious challenge...
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03/29/2022
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
Detectors trained with massive labeled data often exhibit dramatic perfo...
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02/28/2022
Disentangled Spatiotemporal Graph Generative Models
Spatiotemporal graph represents a crucial data structure where the nodes...
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02/28/2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Designing molecules with specific properties is a long-lasting research ...
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02/18/2022
Black-box Node Injection Attack for Graph Neural Networks
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
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02/06/2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
While Deep Neural Networks (DNNs) are deriving the major innovations in ...
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01/28/2022
Deep Generative Model for Periodic Graphs
Periodic graphs are graphs consisting of repetitive local structures, su...
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01/06/2022
Efficiently Disentangle Causal Representations
This paper proposes an efficient approach to learning disentangled repre...
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12/23/2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
During the past several years, a surge of multi-lingual Pre-trained Lang...
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12/22/2021
A Convergent ADMM Framework for Efficient Neural Network Training
As a well-known optimization framework, the Alternating Direction Method...
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12/17/2021
Community-based Layerwise Distributed Training of Graph Convolutional Networks
The Graph Convolutional Network (GCN) has been successfully applied to m...
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12/08/2021
Adaptive Kernel Graph Neural Network
Graph neural networks (GNNs) have demonstrated great success in represen...
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12/01/2021
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
We target the task of cross-lingual Machine Reading Comprehension (MRC) ...
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11/26/2021
KNAS: Green Neural Architecture Search
Many existing neural architecture search (NAS) solutions rely on downstr...
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10/26/2021
Heterogeneous Temporal Graph Neural Network
Graph neural networks (GNNs) have been broadly studied on dynamic graphs...
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08/23/2021